发明名称 SUPPORT VECTOR MACHINE LEARNING SYSTEM AND SUPPORT VECTOR MACHINE LEARNING METHOD
摘要 [Problem] To make it possible to reliably conceal a label of a supervisory signal when support vector machine learning is performed.;[Solution] An analysis executing apparatus that performs support vector machine learning, stores a set of learning data including a feature vector and a label encrypted using an additive homomorphic encryption scheme, which are subjected to the support vector machine learning, and performs update processing with a gradient method on the encrypted learning data using an additive homomorphic addition algorithm.
申请公布号 US2017039487(A1) 申请公布日期 2017.02.09
申请号 US201415303092 申请日期 2014.04.11
申请人 HITACHI, LTD. 发明人 Naganuma Ken;Serita Susumu;Sato Yoshinori;Sato Hisayoshi;Yoshino Masayuki
分类号 G06N99/00;G06F21/60 主分类号 G06N99/00
代理机构 代理人
主权项 1. A support vector machine learning system that performs support vector machine learning, comprising: a learning data management apparatus; and a learning apparatus coupled to the learning data management apparatus, wherein the learning data management apparatus comprises: a learning data storage part that stores a set of learning data including a label and a feature vector, the set of learning data being subjected to the support vector machine learning;an encryption processing part that encrypts the label of the learning data using an additive homomorphic encryption scheme; anda learning data transmitting part that transmits encrypted learning data including the encrypted label and the feature vector to the learning apparatus, and whereinthe learning apparatus comprises: a learning data receiving part that receives the encrypted learning data; andan update processing part that performs update processing with a gradient method on the encrypted learning data using an additive homomorphic addition algorithm.
地址 Tokyo JP